Malta Military Expenditure

Malta · Annual series · EC-MT-ME

Latest, 2025

124.7M USD

+33.1% from 2024

Open interactive chartMalta Military Expenditure in the app

183M97.97M12.95M19852028
History through 2025, the forecast path to 2028 (dashed) and its 80% interval (shaded).

Forecast

Forecast for 2028: 125.0M USD, with an 80% interval of 74.4M USD to 183.0M USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
2026125.2M USD97.9M USD153.8M USD
2027124.9M USD84.9M USD168.9M USD
2028125.0M USD74.4M USD183.0M USD

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Mixed evidence

The tests show no consistent, material advantage over the no-change baseline.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+7%Matches the no-change baseline over 7 tests (7 tests, 5 won)
Direction
62%No clear edge over a coin flip (13 of 21 calls right in 7 tests)
Turning points
n/aToo few tests (7 turns, 8 needed) (7 turns in 7 tests, 1 without a turn)
Error vs baseline
7% lowerError ratio 0.93; 1.00 is a tie.
Tests won
5 / 7Complete rolling backtests; ties count as no win.
Test period
2005-12-01 to 2025-12-013 observations ahead per test.
80% band coverage
90%Observed outcomes inside the band across all stored test windows.
How this assessment is made

AI confidence describes historical evidence for this forecast, not a probability of being correct. Each backtest fits on data available before its test window. The baseline carries the last value forward. Supported evidence requires at least six complete, non-overlapping tests, an error ratio below 0.90 (rounded to two decimals), and wins in a majority of tests. Ratios from 0.90 to below 1.10 are on par; 1.10 or above is weak evidence. Inconsistent wins produce mixed evidence. For a selected model, only the recent tests excluded from model selection determine this label. These are historical simulations using the available data, not a live trading track record; revisions and foundation-model pretraining can limit how closely they reproduce a past decision. Past performance can change.

Replay past tests

Model comparison

Comparison pendingA new ticker first receives its serving model's forecast and evaluation. An eligible nightly batch can compare both candidates, subject to call budgets and retry limits.

Reading

That is the highest of the 10 readings since 2016.

Written from the figures by a fixed template; no AI model is involved.

Recent history (24 observations)
The 24 most recent observations, newest first.
PeriodValue
2025124.7M USD
202493.6M USD
202385.2M USD
202279.4M USD
202188.0M USD
202086.3M USD
201980.3M USD
201866.9M USD
201764.2M USD
201659.7M USD
201551.8M USD
201456.5M USD
201353.8M USD
201249.9M USD
201155.9M USD
201058.7M USD
200959.1M USD
200856.0M USD
200749.3M USD
200644.4M USD
200552.5M USD
200440.5M USD
200334.1M USD
200228.4M USD

Source

Data: public market data feeds.

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